Todd P. Coleman
Orcid: 0000-0002-2144-2495Affiliations:
- University of California, San Diego, USA
According to our database1,
Todd P. Coleman
authored at least 103 papers
between 2004 and 2023.
Collaborative distances:
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Bibliography
2023
Exploring the Gut-Brain Connection in Gastroparesis With Autonomic and Gastric Myoelectric Monitoring.
IEEE Trans. Biomed. Eng., December, 2023
IEEE J. Sel. Areas Inf. Theory, 2023
Exploring the aperiodic nature of parasympathetic activity during sleep in idiopathic gastroparesis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
A Convex Formulation of Point Process Heartbeat Dynamics using a Gamma Generalized Linear Model.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
2022
Robust Regression and Optimal Transport Methods to Predict Gastrointestinal Disease Etiology From High Resolution EGG and Symptom Severity.
IEEE Trans. Biomed. Eng., 2022
Simultaneous Gut-Brain Electrophysiology Shows Cognition and Satiety Specific Coupling.
Sensors, 2022
Wireless Heart Sensor for Capturing Cardiac Orienting Response for Prediction of Neurodevelopmental Delay in Infants.
Sensors, 2022
Automated classification of sleep and wake from single day triaxial accelerometer data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
A Mutual Information Measure of Phase-Amplitude Coupling using High Dimensional Sparse Models.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine.
npj Digit. Medicine, 2021
Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power.
Bioinform., 2021
Sampling, variational Bayesian inference, and conditioned stochastic differential equations.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
IEEE Trans. Inf. Theory, 2020
A Deep Convolutional Neural Network Approach to Classify Normal and Abnormal Gastric Slow Wave Initiation From the High Resolution Electrogastrogram.
IEEE Trans. Biomed. Eng., 2020
Smart Electronic Eyedrop Bottle for Unobtrusive Monitoring of Glaucoma Medication Adherence.
Sensors, 2020
Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous Recordings.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport.
CoRR, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
2018
IEEE Trans. Signal Process., 2018
A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea.
IEEE Trans. Biomed. Eng., 2018
Epidermal Electrode Technology for Detecting Ultrasonic Perturbation of Sensory Brain Activity.
IEEE Trans. Biomed. Eng., 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
2017
High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed.
IEEE Trans. Biomed. Eng., 2017
An Information and Control Framework for Optimizing User-Compliant Human-Computer Interfaces.
Proc. IEEE, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
An Optimizer's Approach to Stochastic Control Problems With Nonclassical Information Structures.
IEEE Trans. Autom. Control., 2015
Scalable Microfabrication Procedures for Adhesive-Integrated Flexible and Stretchable Electronic Sensors.
Sensors, 2015
A scalable framework to transform samples from one continuous distribution to another.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Efficient total probability prediction via convex optimization and optimal transport.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
2014
Necessary and sufficient conditions for reliability of posterior matching in arbitrary dimensions.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
2013
Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs.
IEEE Trans. Signal Process., 2013
IEEE Trans. Inf. Theory, 2013
IEEE Trans. Inf. Forensics Secur., 2013
IEEE Trans. Biomed. Eng., 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
2012
Characterizing the Efficacy of the NRL Network Pump in Mitigating Covert Timing Channels.
IEEE Trans. Inf. Forensics Secur., 2012
Granger causality analysis of state dependent functional connectivity of neurons in orofacial motor cortex during chewing and swallowing.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Granger causality analysis of functional connectivity of spiking neurons in orofacial motor cortex during chewing and swallowing.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
IEEE Trans. Inf. Forensics Secur., 2011
Estimating the directed information to infer causal relationships in ensemble neural spike train recordings.
J. Comput. Neurosci., 2011
A Feedback Information-Theoretic Approach to the Design of Brain-Computer Interfaces.
Int. J. Hum. Comput. Interact., 2011
CoRR, 2011
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes
CoRR, 2011
Multi-layer Bit-wise Unequal Error Protection for Variable Length Blockcodes with Feedback
CoRR, 2011
Proceedings of the 2011 IEEE Information Theory Workshop, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Generalizing the Posterior Matching Scheme to higher dimensions via optimal transportation.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
Introduction to the special issue on information theory in molecular biology and neuroscience.
IEEE Trans. Inf. Theory, 2010
A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes.
Neural Comput., 2010
A dynamical point process model of auditory nerve spiking in response to complex sounds.
J. Comput. Neurosci., 2010
Proceedings of the International Symposium on Information Theory and its Applications, 2010
Proceedings of the International Symposium on Information Theory and its Applications, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
An analytic spatial filter and a hidden Markov model for enhanced information transfer rate in EEG-based brain computer interfaces.
Proceedings of the IEEE International Conference on Acoustics, 2010
A stochastic control approach to coding with feedback over degraded broadcast channels.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network.
IEEE Trans. Signal Process., 2009
Joint source-channel coding for transmitting correlated sources over broadcast networks.
IEEE Trans. Inf. Theory, 2009
Proceedings of the 2009 IEEE Information Theory Workshop, 2009
A stochastic control viewpoint on 'Posterior Matching'-style feedback communication schemes.
Proceedings of the IEEE International Symposium on Information Theory, 2009
Novel Shaping and Complexity-Reduction Techniques for Approaching Capacity over Queuing Timing Channels.
Proceedings of IEEE International Conference on Communications, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Using stochastic control with data compression perspectives to enhance P300 Neural Communication Prostheses.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008
Practical codes for queueing channels: An algebraic, state-space, message-passing approach.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008
Querying the user properly for high-performance brain-machine interfaces: Recursive estimation, control, and feedback information-theoretic perspectives.
Proceedings of the IEEE International Conference on Acoustics, 2008
The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008
Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008
Proceedings of the American Control Conference, 2008
2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
A computationally efficient method for modeling neural spiking activity with point processes nonparametrically.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Low-Complexity Approaches to Slepian-Wolf Near-Lossless Distributed Data Compression.
IEEE Trans. Inf. Theory, 2006
Joint Source-Channel Decoding for Transmitting Correlated Sources over Broadcast Networks.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006
Time-Sharing Vs. Source-Splitting in the Slepian-Wolf Problem: Error Exponents Analysis.
Proceedings of the 2006 Data Compression Conference (DCC 2006), 2006
2005
Interference management via capacity-achieving codes for the deterministic broadcast channel.
Proceedings of the IEEE ITSOC Information Theory Workshop 2005 on Coding and Complexity, 2005
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 2005 Data Compression Conference (DCC 2005), 2005
2004
Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel.
IEEE Trans. Wirel. Commun., 2004
A distributed scheme for achieving energy-delay tradeoffs with multiple service classes over a dynamically varying network.
IEEE J. Sel. Areas Commun., 2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004